2024
Metric multidimensional scaling for large single-cell datasets using neural networks.
Algorithms Mol. Biol., December, 2024
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Efficient Line Search Method Based on Regression and Uncertainty Quantification.
Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024
Detecting Conceptual Abstraction in LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Mixed membership Gaussians.
J. Multivar. Anal., May, 2023
Efficient and Portable Einstein Summation in SQL.
Proc. ACM Manag. Data, 2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Convexity Certificates from Hessians.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Machine Learning, Linear Algebra, and More: Is SQL All You Need?
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
Optimization for Classical Machine Learning Problems on the GPU.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Algorithms for Big Data - DFG Priority Program 1736, 2022
2021
Method of Moments for Topic Models with Mixed Discrete and Continuous Features.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Optimization frameworks for machine learning: Examples and case study.
it Inf. Technol., 2020
A Simple and Efficient Tensor Calculus for Machine Learning.
Fundam. Informaticae, 2020
Fast Entity Resolution With Mock Labels and Sorted Integer Sets.
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020
A Simple and Efficient Tensor Calculus.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
GENO - Optimization for Classical Machine Learning Made Fast and Easy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation.
CoRR, 2019
Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study.
Comput. Graph. Forum, 2019
Dynamic Pseudo-time Warping of Complex Single-Cell Trajectories.
Proceedings of the Research in Computational Molecular Biology, 2019
MatrixCalculus.org - Computing Derivatives of Matrix and Tensor Expressions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
GENO - GENeric Optimization for Classical Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Using Benson's Algorithm for Regularization Parameter Tracking.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane.
IEEE/ACM Trans. Netw., 2018
Computing Higher Order Derivatives of Matrix and Tensor Expressions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Personal Routes with High-Dimensional Costs and Dynamic Approximation Guarantees.
Proceedings of the 16th International Symposium on Experimental Algorithms, 2017
2016
Distributed Convex Optimization with Many Convex Constraints.
CoRR, 2016
Generating massive complex networks with hyperbolic geometry faster in practice.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
Deducing individual driving preferences for user-aware navigation.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
2015
A Fast Parallel Implementation of a PTAS for Fractional Packing and Covering Linear Programs.
Int. J. Parallel Program., 2015
Reconstructing a Sparse Solution from a Compressed Support Vector Machine.
Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2015
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees.
Proceedings of the 31th International Conference on Machine Learning, 2014
Sketching the Support of a Probability Measure.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2012
Approximating parameterized convex optimization problems.
ACM Trans. Algorithms, 2012
Regularization Paths with Guarantees for Convex Semidefinite Optimization.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Approximating Concavely Parameterized Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
A comparison of models of word meaning in context.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012
A Hybrid Algorithm for Convex Semidefinite Optimization.
Proceedings of the 29th International Conference on Machine Learning, 2012
Optimizing over the Growing Spectrahedron.
Proceedings of the Algorithms - ESA 2012, 2012
2011
Power assignment problems in wireless communication: Covering points by disks, reaching few receivers quickly, and energy-efficient travelling salesman tours.
Ad Hoc Networks, 2011
2008
Approximation algorithms for geometric optimization problems.
PhD thesis, 2008
Approximating k-hop minimum spanning trees in Euclidean metrics.
Inf. Process. Lett., 2008
Geometric Set Cover and Hitting Sets for Polytopes in $R^3$
CoRR, 2008
Geometric Set Cover and Hitting Sets for Polytopes in R<sup>3</sup>.
Proceedings of the STACS 2008, 2008
2007
Bounded-Hop Energy-Efficient Broadcast in Low-Dimensional Metrics Via Coresets.
Proceedings of the STACS 2007, 2007
Minimum-Energy Broadcast with Few Senders.
Proceedings of the Distributed Computing in Sensor Systems, 2007
2006
Power Assignment Problems in Wireless Communication
CoRR, 2006
2005
A linear algorithm for integer programming in the plane.
Math. Program., 2005
2003
A Faster Algorithm for Two-Variable Integer Programming.
Proceedings of the Algorithms and Computation, 14th International Symposium, 2003